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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<li class="navelem"><a class="el" href="namespaceshark.html">shark</a></li><li class="navelem"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">RFTrainer&lt; RealVector &gt;</a></li>  </ul>
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  <div class="headertitle"><div class="title">shark::RFTrainer&lt; RealVector &gt; Member List</div></div>
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<p>This is the complete list of members for <a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a>, including all inherited members.</p>
<table class="directory">
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a4560a94e8f4908fe8627e41e7d965735">BOOST_SERIALIZATION_SPLIT_MEMBER</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a8c8370c0d2c2550a50df4d6b0bccf42b">DatasetType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a15b07750636e93b6caf5ce721226a0c5">epsilon</a>(double distance)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a11e51b154b87ed5e33b6ce2c830cd3d6">InputType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a8cc4b95c06687c88b75ea8db8187336d">LabelType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#abdda0c5b8e065b8afbac2cba8f58e841">load</a>(InArchive &amp;archive, unsigned int version)</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a0afd1b5c06d9eeea0f09ce75b1c3a160">minImpurity</a>(double impurity)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#ad2ad0a52ecd9ac8677df6dbf403b68b4">ModelType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#ae1ad33346b1541c85c3d239306acd92b">name</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">numberOfParameters</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a9a0674d771e229c820f0d3dfa24b38a2">parameterVector</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; RealVector &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#ad4ad9a7c274deff642f91e98417fbc63">read</a>(InArchive &amp;archive)</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#aa70d6bf3520d6a5961cdacfa7f540d36">RFTrainer</a>(bool computeFeatureImportances=false, bool computeOOBerror=false)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a5bf66fa8db15cc529bec98976a2f5255">save</a>(OutArchive &amp;archive, unsigned int version) const</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a82e8773ba20dcf97ea659ffc51713ba9">setMaxDepth</a>(std::size_t maxDepth)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a7973029c913a68140dc5082f8c5b5678">setMinSplit</a>(std::size_t numSamples)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a26132d8880d145e1e09e0e5c5b92e53a">setMTry</a>(std::size_t mtry)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a03743949c6b502d953db82e98280de3e">setNodeSize</a>(std::size_t nodeSize)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a47b5618fe873957a5cd17ff5568361a3">setNTrees</a>(std::size_t numTrees)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a2172de721b6e63265d67c56076036121">setParameterVector</a>(RealVector const &amp;newParameters)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a4975033b328b481f5bbfa2fea88ddcd9">train</a>(RFClassifier&lt; LabelType &gt; &amp;model, WeightedLabeledData&lt; RealVector, LabelType &gt; const &amp;dataset)</td><td class="entry"><a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html">shark::RFTrainer&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#ad35ae0b236c45b73f749285a54288e89">AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;::train</a>(ModelType &amp;model, WeightedDatasetType const &amp;dataset)=0</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a9e5711480e4f1e214ff3c30a9604d10a">AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;::train</a>(ModelType &amp;model, DatasetType const &amp;dataset)</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html#a71d3fd2567473d746ecb733d7fa28c7e">shark::AbstractTrainer::train</a>(ModelType &amp;model, DatasetType const &amp;dataset)=0</td><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; Model, LabelTypeT &gt;</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html#ab6d74ebe9e01f9eefb70f9eb12738ffe">WeightedDatasetType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_weighted_trainer.html">shark::AbstractWeightedTrainer&lt; RFClassifier&lt; RealVector &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a9bddedd42933c922e323b73131f62f12">write</a>(OutArchive &amp;archive) const</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_nameable.html#a877dbdfc6b58ea836495143cea44a98c">~INameable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_nameable.html">shark::INameable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html#a9e3a11172e74d1aa7292f3de4e2b6ebc">~IParameterizable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; RealVector &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a7baa9ce108d7278822297ce15882782a">~ISerializable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
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